Masakazu Doi

21 total papers · 418 total citations
10 papers, 321 citations indexed

About

Masakazu Doi is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Masakazu Doi has authored 10 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Masakazu Doi's work include Abdominal Trauma and Injuries (4 papers), Trauma Management and Diagnosis (3 papers) and Urological Disorders and Treatments (2 papers). Masakazu Doi is often cited by papers focused on Abdominal Trauma and Injuries (4 papers), Trauma Management and Diagnosis (3 papers) and Urological Disorders and Treatments (2 papers). Masakazu Doi collaborates with scholars based in Japan. Masakazu Doi's co-authors include Masaki Kitajima, Atsushi Nagashima, Mitsuhide Kitano, Hiroshi Yoshii, Tadashi Ikeda, Shin Takayama, Shigeru Masamura, Seiichiro Ishii, Shinobu Hayashi and Tomohisa Egawa and has published in prestigious journals such as Journal of Gastroenterology, The Japanese Journal of Gastroenterological Surgery and The Journal of Trauma: Injury, Infection, and Critical Care.

In The Last Decade

Masakazu Doi

8 papers receiving 307 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Masakazu Doi	191	101	59	56	54	10	321
Ana Catarina Silva	189 1.0×	49 0.5×	41 0.7×	6 0.1×	28 0.5×	13	257
T. Berk	110 0.6×	25 0.2×	27 0.5×	15 0.3×	113 2.1×	13	361
Michele Babicky	107 0.6×	35 0.3×	72 1.2×	8 0.1×	73 1.4×	14	255
Kimberly Credit	91 0.5×	7 0.1×	80 1.4×	9 0.2×	62 1.1×	10	349
Nadim Srour	94 0.5×	4 0.0×	61 1.0×	24 0.4×	39 0.7×	12	338
Vesselin R. Penchev	35 0.2×	8 0.1×	119 2.0×	11 0.2×	112 2.1×	8	250
Melda S. Dolan	47 0.2×	10 0.1×	52 0.9×	7 0.1×	53 1.0×	9	314
A. Larèse	94 0.5×	37 0.4×	79 1.3×	4 0.1×	23 0.4×	11	347
Qionghua Lin	25 0.1×	10 0.1×	83 1.4×	18 0.3×	99 1.8×	12	273
N I Markham	107 0.6×	56 0.6×	88 1.5×	4 0.1×	94 1.7×	10	284

Countries citing papers authored by Masakazu Doi

Since Specialization

Citations

This map shows the geographic impact of Masakazu Doi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Masakazu Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masakazu Doi more than expected).

Fields of papers citing papers by Masakazu Doi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masakazu Doi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masakazu Doi. The network helps show where Masakazu Doi may publish in the future.

Co-authorship network of co-authors of Masakazu Doi

This figure shows the co-authorship network connecting the top 25 collaborators of Masakazu Doi. A scholar is included among the top collaborators of Masakazu Doi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masakazu Doi. Masakazu Doi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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